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DIGITAL TRANSFORMATION
ASSESSMENT
Wij starten om 12.00 uur.
U kunt vragen stellen via de Q&A knop in het zoom-menu.
Tijdens het webinar staan alle bezoekers op ‘mute’.
DIGITAL TRANSFORMATION
ASSESSMENT
De beste manier om een realistische
roadmap te ontwikkelen
1. Introductie
2. De opzet
- Stappen
- Resultaten
3. Voorbeelden
4. Vragen
DIGITAL TRANSFORMATION ASSESSEMENT
AGENDA
22 FEBRUARY, 2023 4
De hoofdvragen als het gaat om uw
organisatie en data
• Vertrouwt u uw data ? Waarom wel of niet ?
• Worden veel besluitvormingen binnen uw
organisatie genomen op basis van data ?
• Is er een cultuur waarin data wordt gebruikt
om uzelf of anderen uit te dagen in
besluitvorming ?
DE DATA UITDAGING
UW ORGANISATIE
22 FEBRUARY, 2023 5
DE DATA UITDAGING
UIT DE PRAKTIJK
10%
32%
24%
Van de business relevante data is gebruikt voor analyses
Van de leidinggevenden geven aan dat ze toegevoegde
waarde uit data halen
Van de besluitvormers voelen zich comfortabel in de
toepassing van data
Sources: IDC Worldwide Global DataSphere Forecast 2019-2023 (2019), Accenture Closing The Data-Value Gap (2019), Qlik How to Drive Data Literacy Within the Enterprise (2018)
22 FEBRUARY, 2023
DIGITALISERING EN DATA
NIET ZOMAAR EN IN ÉÉN KEER GEREGELD
Security
Governance
Maintainability
Empowerment
Availability
Standards
Integration
Collaboration
DATA
Technology
22 FEBRUARY, 2023 7
ASSESSMENT ALS ONDERDEEL VAN EEN VERBETERPLAN
PLAN VAN AANPAK
1. Digital transformation assessment
• Waar sta ik en waar wil ik naar toe
2. Ontwikkel een roadmap met realistische stappen
• Concrete pragmatische stappen op basis van nut en noodzaak uit de assessment
3. Voer geïdentificeerde stappen uit bestaande uit veelal de volgende acties:
22 FEBRUARY, 2023 8
WAT ZIJN
DE HOOFDSTAPPEN
1. Data
collectie
2. Kick-off
Management
team
3. As Is situatie
Data verificatie
Interviews
Rondgang
4. Data & Gap-
Analyse
TO-BE situatie
bepalen
5. Roadmap
ontwikkeling
6. Presentatie
resultaten
Smart
Business
Smart Data Smart
Work
Smart
People
22 FEBRUARY, 2023 9
STEP 2: ROADMAP ONTWIKKELING
AANDACHTSGEBIEDEN
• Aansluiting Management team
• Betrokkenheid afdelingen alle disciplines,
inclusief productie, HR, inkoop etc
• Werkstroomprocessen
• Cultuur
• Werving
• Skills
• Rollen en competenties
• Trainingen
• Sensoren
• Hardware en software
• Data opslag en
datamanagement
• Automatisering
• Digitale hulpmiddelen in
uitvoering
• Uitnutting data van diverse
bronnen
• Kunstmatige intelligentie
• Machine learning
• Data gedreven asset
management
Smart
Work
Smart
Business
Smart
People
Smart
Data
22 FEBRUARY, 2023 10
ASSESSMENT
ONDERWERPEN
Interviews on function level per location
Main subjects that can be expected:
Smart Data
• Asset Management
(Asset register, criticality, connectivity,
maintainability, security)
• Logistics
• Metadata (Quality, Findability).....
• Analyse & Reporting and Performance measurement
(track & tracing)
Smart Work (systems)
• IT Infrastructure
(operating, monitoring systems, MES system)
• Security
• Data Storage
• Software and Integration/ interfaces
• Quality Control
• Plant automation
Smart People
• Roles & Responsibilities
(Data management, data use, data quality)
• Competences
• Training
Smart Business
• Digitalization strategy
• Organization
• Work Processes
• Culture
22 FEBRUARY, 2023 11
VERSCHILLENDE
NIVEAUS
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Pre-digital Digitalization Computerization Connectivity
Visible Plant
(What is
happening)
Transparent Plant
(Why it is happening)
Predictive Plant
(What will happen?)
Autonomous
(Adaptive)
Plant
Level van veel bedrijven
Uitschieters Level 5 en 6
Brownfield
Greenfield
Autonoom
opereren
AMBITIES VASTLEGGEN
PER ONDERWERP
22 FEBRUARY, 2023
• Maintenance DATA: Asset Register, criticality, compliance and maintainability"
• Process DATA: Historians, Sources, quality "
• Risk Based Maintenance Strategies
• Logistics /Supply Chain
• Analysis, reporting and performance measurement
Smart
Data
Smart
Work
Smart
People
Smart
Business
• OT & IT Landscape and Infrastructure
• Field equipment: Connectivity and equipment Management (Machine-2-Machine)
• Metadata, Master data & Taxonomy
• Plant Automation
• Data Security,
• Data Storage,
• Quality Control
• Roles & Responsibilities(Data management, data use, data quality)"
• Competences
• Training
• Digitalization strategy
• Organization
• Work Processes
• Culture
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
Connectivity
Visible Plant
(What is happening)
Transparent Plant
(Why it is happening)
Predictive Plant
(What will happen?)
Actions to achieve Level 4 Action to achieve Level 5 Action to achieve Level 6 Action to achieve Level 7
Implement usage of SORA data in Maximo
Create as-build drawings
Implement 2 way communication maximo
and primavera
Improve accuracy of cost
registration (on asset
level)
Perform a "quick "study and select assets that are suitable offline/online
Monitoring or APM 4.0
Set up quality checks for data used in
monitoring and predictive analysis tools
and automize this
Implement condition monitoring for
current inspection initiatives (QuickWIN)
Based on bad actor analysis investigate best data driven solution (typical template).
Define which process data is relevant
(failure mode driven)
Integrate 3 systems: Maximo, SAP and Lugus
Define data quality program to improve
data usability
Connect process data with condition
monitoring/predictive/CMMS system
create an overview on black box
system. input/output
Standardize RCA methodology to close the
loop predictive maintenance
Implement
prescriptive
decisions making.
Smart
Data
HIGH MEDIUM LOW
HIGH MEDIUM LOW
HIGH MEDIUM LOW
HIGH MEDIUM LOW
1. Strategie definition
2. Organisatie & Proces
3. Change & People
4. Hardware & Software
22 FEBRUARY, 2023
ROADMAP ONTWIKKELING
VOORBEELD: ROADMAP NAAR MEER AUTONOME PLANT
Focus Deliverables
Vision
1. Data management
2. Predictive analytics
for maintenance and
operation
3. Enable IoT / I4.0
technology in plants
4. Develop a remote
plant / supply chain
set up
Creating a
more
autonomous
operating
plant
• Gap analysis against the as-is situation
• Develop an IT landscape
• Define the valid platform for advanced analytics
• Implement certain use cases (PoC)
• Implement Maintenance platform (reliability center)
• Implement a platform for operations management
• Work on sensor technology, align with partners
• Develop a multi-stage concept for a remote plant
• Develop a smart supply chain setup with partners
• Gap analysis for as is automation systems
(alarm management, other topics)
• Implement and monitor cyber security
• Define standards for implementation of IoT devices in automation
systems
Smart
Work
Smart
Business
Smart Data
Smart Data
22 FEBRUARY, 2023
DATA BRONNEN
VOORBEELD: HOE DATA UIT TE NUTTEN
Plant sensing
Data & Communications
Data Aggregation /
Integration
Online Sensors:
U.T.
Vibration
E.R. Probes
Sand Probes
Stress/Strain
Tilt, settlement & shock
H20
H2S
Voltage/mA
Cloud
Historian
Handheld Unit
Offline Sensors:
U.T.
CUI
Temp.
Stress/Strain
H20
H2S
Client
External
party
“STORK
Gateway”
• Power
• Memory
• Wireless Coms
• Ethernet
• Data processing
LAN
Data Analysis
22 FEBRUARY, 2023
VOORBEELDEN
STEP BY STEP
Engineering & MOC toolkit Analytics toolkit
22 FEBRUARY, 2023 17
Telescoping
inspection pole
Intrinsically safe
tablet
Rugged action
camera or similar
Helmet mounted cameras
Ex Bluetooth
mic &
headphones
Wrist mounted remote/
viewer and control
3-axis camera
stabilisation and
remote control
360 deg camera
Industrial
stylus
Digital annotation
software
Digital form
software
Chest mounted
tablet support
Remote controlled
LED lights
DATA BRONNEN
CREEREN VAN EEN DIGITALE INSPECTEUR
22 FEBRUARY, 2023 18
SAMENVATTING
WANNEER SUCCESVOL?
1. Focus op doelstellingen en de prioriteiten
• Begrijp de voordelen voor u zelf voordat u investeert
2. Zorg dat uw organisatie er klaar voor is om zich aan te passen
• Cultuurelement, technisch
3. Streef naar eenvoud
• Digitalisering is geen doel op zich
• Waar is het nodig (kritisch, performance killers)
• Start klein bijvoorbeeld monitoring met standaard
sensoren of beschikbare data
4. Maak toegevoegde waarde zichtbaar
5. Analyseer en verbeter gedurende de transformatie
February 22, 2023 Page 19
Vragen
Via Q&A
Sustainable Performance Improvement
Of neem contact op met onze
Subject Matter Expert:
Ludolf Pijpker
Ludolf.Pijpker@stork.com
+31 6 53 57 48 01
WEBINAR
DIGITAL TRANSFORMATION ASSESSMENT
STORK IS HERE TO HELP YOU
AMT@stork.com
22 Maart Digital Twin
19 April Pompskid: digitale transformatie in de praktijk
Of kijk onze webinars terug op: www.stork.com
Onze volgende webinars:
BEDANKT
VOO
VOOR UW DEELNAME

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Stork Webinar | Digital Transformation Assessment

  • 1. DIGITAL TRANSFORMATION ASSESSMENT Wij starten om 12.00 uur. U kunt vragen stellen via de Q&A knop in het zoom-menu. Tijdens het webinar staan alle bezoekers op ‘mute’.
  • 2. DIGITAL TRANSFORMATION ASSESSMENT De beste manier om een realistische roadmap te ontwikkelen
  • 3. 1. Introductie 2. De opzet - Stappen - Resultaten 3. Voorbeelden 4. Vragen DIGITAL TRANSFORMATION ASSESSEMENT AGENDA
  • 4. 22 FEBRUARY, 2023 4 De hoofdvragen als het gaat om uw organisatie en data • Vertrouwt u uw data ? Waarom wel of niet ? • Worden veel besluitvormingen binnen uw organisatie genomen op basis van data ? • Is er een cultuur waarin data wordt gebruikt om uzelf of anderen uit te dagen in besluitvorming ? DE DATA UITDAGING UW ORGANISATIE
  • 5. 22 FEBRUARY, 2023 5 DE DATA UITDAGING UIT DE PRAKTIJK 10% 32% 24% Van de business relevante data is gebruikt voor analyses Van de leidinggevenden geven aan dat ze toegevoegde waarde uit data halen Van de besluitvormers voelen zich comfortabel in de toepassing van data Sources: IDC Worldwide Global DataSphere Forecast 2019-2023 (2019), Accenture Closing The Data-Value Gap (2019), Qlik How to Drive Data Literacy Within the Enterprise (2018)
  • 6. 22 FEBRUARY, 2023 DIGITALISERING EN DATA NIET ZOMAAR EN IN ÉÉN KEER GEREGELD Security Governance Maintainability Empowerment Availability Standards Integration Collaboration DATA Technology
  • 7. 22 FEBRUARY, 2023 7 ASSESSMENT ALS ONDERDEEL VAN EEN VERBETERPLAN PLAN VAN AANPAK 1. Digital transformation assessment • Waar sta ik en waar wil ik naar toe 2. Ontwikkel een roadmap met realistische stappen • Concrete pragmatische stappen op basis van nut en noodzaak uit de assessment 3. Voer geïdentificeerde stappen uit bestaande uit veelal de volgende acties:
  • 8. 22 FEBRUARY, 2023 8 WAT ZIJN DE HOOFDSTAPPEN 1. Data collectie 2. Kick-off Management team 3. As Is situatie Data verificatie Interviews Rondgang 4. Data & Gap- Analyse TO-BE situatie bepalen 5. Roadmap ontwikkeling 6. Presentatie resultaten Smart Business Smart Data Smart Work Smart People
  • 9. 22 FEBRUARY, 2023 9 STEP 2: ROADMAP ONTWIKKELING AANDACHTSGEBIEDEN • Aansluiting Management team • Betrokkenheid afdelingen alle disciplines, inclusief productie, HR, inkoop etc • Werkstroomprocessen • Cultuur • Werving • Skills • Rollen en competenties • Trainingen • Sensoren • Hardware en software • Data opslag en datamanagement • Automatisering • Digitale hulpmiddelen in uitvoering • Uitnutting data van diverse bronnen • Kunstmatige intelligentie • Machine learning • Data gedreven asset management Smart Work Smart Business Smart People Smart Data
  • 10. 22 FEBRUARY, 2023 10 ASSESSMENT ONDERWERPEN Interviews on function level per location Main subjects that can be expected: Smart Data • Asset Management (Asset register, criticality, connectivity, maintainability, security) • Logistics • Metadata (Quality, Findability)..... • Analyse & Reporting and Performance measurement (track & tracing) Smart Work (systems) • IT Infrastructure (operating, monitoring systems, MES system) • Security • Data Storage • Software and Integration/ interfaces • Quality Control • Plant automation Smart People • Roles & Responsibilities (Data management, data use, data quality) • Competences • Training Smart Business • Digitalization strategy • Organization • Work Processes • Culture
  • 11. 22 FEBRUARY, 2023 11 VERSCHILLENDE NIVEAUS Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Pre-digital Digitalization Computerization Connectivity Visible Plant (What is happening) Transparent Plant (Why it is happening) Predictive Plant (What will happen?) Autonomous (Adaptive) Plant Level van veel bedrijven Uitschieters Level 5 en 6 Brownfield Greenfield Autonoom opereren
  • 12. AMBITIES VASTLEGGEN PER ONDERWERP 22 FEBRUARY, 2023 • Maintenance DATA: Asset Register, criticality, compliance and maintainability" • Process DATA: Historians, Sources, quality " • Risk Based Maintenance Strategies • Logistics /Supply Chain • Analysis, reporting and performance measurement Smart Data Smart Work Smart People Smart Business • OT & IT Landscape and Infrastructure • Field equipment: Connectivity and equipment Management (Machine-2-Machine) • Metadata, Master data & Taxonomy • Plant Automation • Data Security, • Data Storage, • Quality Control • Roles & Responsibilities(Data management, data use, data quality)" • Competences • Training • Digitalization strategy • Organization • Work Processes • Culture Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8
  • 13. Connectivity Visible Plant (What is happening) Transparent Plant (Why it is happening) Predictive Plant (What will happen?) Actions to achieve Level 4 Action to achieve Level 5 Action to achieve Level 6 Action to achieve Level 7 Implement usage of SORA data in Maximo Create as-build drawings Implement 2 way communication maximo and primavera Improve accuracy of cost registration (on asset level) Perform a "quick "study and select assets that are suitable offline/online Monitoring or APM 4.0 Set up quality checks for data used in monitoring and predictive analysis tools and automize this Implement condition monitoring for current inspection initiatives (QuickWIN) Based on bad actor analysis investigate best data driven solution (typical template). Define which process data is relevant (failure mode driven) Integrate 3 systems: Maximo, SAP and Lugus Define data quality program to improve data usability Connect process data with condition monitoring/predictive/CMMS system create an overview on black box system. input/output Standardize RCA methodology to close the loop predictive maintenance Implement prescriptive decisions making. Smart Data HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW HIGH MEDIUM LOW 1. Strategie definition 2. Organisatie & Proces 3. Change & People 4. Hardware & Software
  • 14. 22 FEBRUARY, 2023 ROADMAP ONTWIKKELING VOORBEELD: ROADMAP NAAR MEER AUTONOME PLANT Focus Deliverables Vision 1. Data management 2. Predictive analytics for maintenance and operation 3. Enable IoT / I4.0 technology in plants 4. Develop a remote plant / supply chain set up Creating a more autonomous operating plant • Gap analysis against the as-is situation • Develop an IT landscape • Define the valid platform for advanced analytics • Implement certain use cases (PoC) • Implement Maintenance platform (reliability center) • Implement a platform for operations management • Work on sensor technology, align with partners • Develop a multi-stage concept for a remote plant • Develop a smart supply chain setup with partners • Gap analysis for as is automation systems (alarm management, other topics) • Implement and monitor cyber security • Define standards for implementation of IoT devices in automation systems Smart Work Smart Business Smart Data Smart Data
  • 15. 22 FEBRUARY, 2023 DATA BRONNEN VOORBEELD: HOE DATA UIT TE NUTTEN Plant sensing Data & Communications Data Aggregation / Integration Online Sensors: U.T. Vibration E.R. Probes Sand Probes Stress/Strain Tilt, settlement & shock H20 H2S Voltage/mA Cloud Historian Handheld Unit Offline Sensors: U.T. CUI Temp. Stress/Strain H20 H2S Client External party “STORK Gateway” • Power • Memory • Wireless Coms • Ethernet • Data processing LAN Data Analysis
  • 16. 22 FEBRUARY, 2023 VOORBEELDEN STEP BY STEP Engineering & MOC toolkit Analytics toolkit
  • 17. 22 FEBRUARY, 2023 17 Telescoping inspection pole Intrinsically safe tablet Rugged action camera or similar Helmet mounted cameras Ex Bluetooth mic & headphones Wrist mounted remote/ viewer and control 3-axis camera stabilisation and remote control 360 deg camera Industrial stylus Digital annotation software Digital form software Chest mounted tablet support Remote controlled LED lights DATA BRONNEN CREEREN VAN EEN DIGITALE INSPECTEUR
  • 18. 22 FEBRUARY, 2023 18 SAMENVATTING WANNEER SUCCESVOL? 1. Focus op doelstellingen en de prioriteiten • Begrijp de voordelen voor u zelf voordat u investeert 2. Zorg dat uw organisatie er klaar voor is om zich aan te passen • Cultuurelement, technisch 3. Streef naar eenvoud • Digitalisering is geen doel op zich • Waar is het nodig (kritisch, performance killers) • Start klein bijvoorbeeld monitoring met standaard sensoren of beschikbare data 4. Maak toegevoegde waarde zichtbaar 5. Analyseer en verbeter gedurende de transformatie
  • 19. February 22, 2023 Page 19 Vragen Via Q&A Sustainable Performance Improvement Of neem contact op met onze Subject Matter Expert: Ludolf Pijpker Ludolf.Pijpker@stork.com +31 6 53 57 48 01 WEBINAR DIGITAL TRANSFORMATION ASSESSMENT
  • 20. STORK IS HERE TO HELP YOU AMT@stork.com 22 Maart Digital Twin 19 April Pompskid: digitale transformatie in de praktijk Of kijk onze webinars terug op: www.stork.com Onze volgende webinars:

Notes de l'éditeur

  1. Let’s look at the agenda for this webinar First we will start with the big Why. Why is smart condition monitoring that important then we will explain what different strategies there are with some nice examples of use cases and then a very important subject how you can you select the rigth strategy, which is the best for your assets followed by a wrap up. At the end there is time for some Q&A, you can ask your qustion via the Q&A button. We would like to have this webinar a bit interactief so we have some questions for you in between.
  2. Afhankelijk in welke branche u werkzaam bent. Dit gericht op de proces industrie. In de financiële wereld is dit een ander beeld
  3. Elimineer data silo’s Software selectie voor data integratie en visualisatie Digitaliseren van werkprocessen Start klein met systeem integratie van bijvoorbeeld een kritisch proces bijvoorbeeld Engineering data en CMMS (technische informatie) Data en document management (hardware, software en procedures) Uitnutten data voor monitoring gezondheid assets,energiebesparing, proces optimalisatie
  4. Hier is een voorbeeld van een roadmap die is ontwikkeld voor een klant met een visie om een meer autonoom opererende fabriek te creëren. Hoewel het er rechttoe rechtaan uitziet, kost het nogal wat tijd om die visie te verwoorden, omdat bleek dat de belangrijkste belanghebbenden verschillende projecten hadden waar ze in wilden 'glijden', wat erg tijdrovend zou zijn. Vervolgens hebben we verschillende workshops met de klant gehouden om 4 belangrijke aandachtsgebieden te definiëren. En voor elk aandachtsgebied zijn we het eens geworden over de belangrijkste deliverables In dit geval kun je zien dat Smart Data centraal stond. Maar aan de kant van de mensen was het best interessant om te zien dat ze eigenlijk in een vrij goede vorm verkeerden. Op Smart Work, Smart Data en Smart Business hadden ze hulp nodig.
  5. Meer info bij de volgende webinar over digital Twin’s
  6. Vragen: Wat zijn de criteria voor het inzetten van een High Performance Team? Hoe ga je om met de cultuur verschillen? Je noemde in de definitie van High Performance Team dat ‘er druk aanwezig is’. Hoe ervaart het team deze druk? Hoe gaat het team hiermee om? In welke cases is dit toegepast? Wat waren de effecten? Welke eisen stelt dit aan het eigen bedrijf? Is dit iets wat STORK alleen kan doen? De referentie database, wat zit daar in? Is dit een standaard?
  7. Slide voor donderdag